Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
In our paper we considered the problem of demand uncertainty and its influence on planning and scheduling of LPG deliveries. The experience of specialized transportation company in charge of LPG deliveries for the domestic supplier network under VMI approach was analyzed. High variability of distribution parameters and frequent orders modifications were observed while small stations tanks capacities comparing to high daily LPG sales volumes were considered. The combined use of simulation and optimization methods was proposed for the case of LPG distribution to the petrol stations network. The demand uncertainty at customers' stations was considered. Simulation models were assumed to be efficient for dynamic and robust delivery plans of LPG distribution. The results of computational experiments were presented for different values of coefficient of variation.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
63--78
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
- AGH University of Science and Technology, Poland
autor
- Cracow University of Technology, Poland
Bibliografia
- [1] Abduljabbar W.K., Razman M.T.: A Case Study of Petroleum Transportation Logistics: A Decision Support System Based on Simulation and Stochastic Optimal Control. African Journal of Business Management 6 (11), 2012, pp. 4350–4361, doi:10.5897/AJBM11.283.
- [2] Angel J.A., Grasman S.E., Caceres-Cruz J., Bektaş T.: A Simheuristic Algorithm for the Single-Period Stochastic Inventory-Routing Problem with StockOuts. Simulation Modelling Practice and Theory 46, 2014 pp. 40–52. doi:10.1016/j.simpat.2013.11.008.
- [3] Anily S., Federgruen A.: One warehouse multiple retailer systems with vehicle routing costs. Management Science 36, 1990, pp. 92–114.
- [4] Archetti C., Bertazzi L., Laporte G. and Speranza M.G.: A branch-and-cut algorithm for a vendormanaged inventory-routing problem. Transportation Science, 41(3), 2007, pp. 382-391.
- [5] Beltrami E., Bodin L.: Networks and vehicle routing for municipal waste collection. Networks 4, 1974, pp. 65-94.
- [6] Bertazzi L., Paletta G., Speranza M.G.: Deterministic order-up-to level policies in an inventory routing problem. Transportation Science, 36(1), 2002, pp. 119–132.
- [7] Bramel J., Simchi-Levi D.: A location based heuristic for general routing problems. Operations Research, 43, 1995, pp. 649–660.
- [8] Cáceres-Cruz, J., Juan, A. Grasman, S.E., Bektas, T., Faulin, J.: Combining Monte Carlo Simulation With Heuristics for Solving the Inventory Routing Problem With Stochastic Demand. Proceedings of the 2012 Winter Simulation Conference, 2012, pp. 3114–3122.
- [9] Coelho L.C., Laporte G.: The exact solution of several classes of inventory-routing problems. Computers &Operations Research, 2012.
- [10] Cornillier F., Boctor F.F., Renaud J.: Heuristics for the multi-depot petrol station replenishment problem with time windows. European Journal of Operational Research 220, 2012, pp. 361–369.
- [11] Davis T., Waller M., Johnson M.E.: VendorManaged Inventory In The Retail Supply Chain. Journal of Business Logistics, Oak Brook 1999, 20(1), pp. 183–204.
- [12] Dror M., Laporte G., Trudeau P.: Vehicle routing with stochastic demands: properties and solution framework. Transportation Science 23, 1989, pp.166–176.
- [13] Gallego G., Simchi-Levi D.: On the effectiveness of direct shipping strategy for the one warehouse multi-retailer r-systems. Management Science, 36, 1990, pp. 240–243.
- [14] Krawczyk S.: Metody ilościowe w planowaniu (działalności przedsiębiorstwa). T.I., Warszawa, 2001.
- [15] Park Y.-B., Yoo J.-S., Park H.-S.: A genetic algorithm for the vendor-managed inventory routing problem with lost sales. Expert Systems With Applications, 2016.
- [16] POPiHN Annual Report 2015.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b9c5883c-e949-4fa9-ab0a-8cf983c385da